Model Comparison
DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 32BWhich is better in 2026?
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.3x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 32B — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and DeepSeek R1 Distill Qwen 32B (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks. DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose DeepSeek R1 Distill Llama 70B if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 1.3x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 1.2x cheaper than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.2x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).
In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 37.8B more parameters than DeepSeek R1 Distill Qwen 32B, making it 115.2% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Both models were released on 2025-01-20.
They likely represent similar generations of model development.
Jan 20, 2025
1.5 years ago
Jan 20, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.
DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Qwen 32B
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 32B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 32B.